| Steps toward accurate reconstructions of phylogenies from gene-order data BME Moret, J Tang, LS Wang, T Warnow Journal of Computer and System Sciences 65 (3), 508-525, 2002 | 153 | 2002 |
| Local-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary information L Wei, J Tang, Q Zou Information Sciences 384, 135-144, 2017 | 147 | 2017 |
| Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy Q Zou, S Wan, Y Ju, J Tang, X Zeng BMC systems biology 10 (4), 401-412, 2016 | 136 | 2016 |
| Prediction of human protein subcellular localization using deep learning L Wei, Y Ding, R Su, J Tang, Q Zou Journal of Parallel and Distributed Computing 117, 212-217, 2018 | 129 | 2018 |
| Inversion medians outperform breakpoint medians in phylogeny reconstruction from gene-order data BME Moret, AC Siepel, J Tang, T Liu International Workshop on Algorithms in Bioinformatics, 521-536, 2002 | 117 | 2002 |
| Scaling up accurate phylogenetic reconstruction from gene-order data J Tang, BME Moret Bioinformatics 19 (suppl_1), i305-i312, 2003 | 106 | 2003 |
| Identification of drug-target interactions via multiple information integration Y Ding, J Tang, F Guo Information Sciences 418, 546-560, 2017 | 100 | 2017 |
| Identification of drug-side effect association via multiple information integration with centered kernel alignment Y Ding, J Tang, F Guo Neurocomputing 325, 211-224, 2019 | 91 | 2019 |
| PhosPred-RF: a novel sequence-based predictor for phosphorylation sites using sequential information only L Wei, P Xing, J Tang, Q Zou IEEE transactions on nanobioscience 16 (4), 240-247, 2017 | 90 | 2017 |
| Predicting protein-protein interactions via multivariate mutual information of protein sequences Y Ding, J Tang, F Guo BMC bioinformatics 17 (1), 1-13, 2016 | 84 | 2016 |
| Reconstructing phylogenies from gene-content and gene-order data. BME Moret, J Tang, TJ Warnow Mathematics of Evolution and Phylogeny, 321-352, 2007 | 83 | 2007 |
| Identification of protein subcellular localization via integrating evolutionary and physicochemical information into Chou’s general PseAAC Y Shen, J Tang, F Guo Journal of Theoretical Biology 462, 230-239, 2019 | 82 | 2019 |
| MLGO: phylogeny reconstruction and ancestral inference from gene-order data F Hu, Y Lin, J Tang BMC bioinformatics 15 (1), 1-6, 2014 | 69 | 2014 |
| A computational approach for examining the roots and spreading patterns of fake news: Evolution tree analysis SM Jang, T Geng, JYQ Li, R Xia, CT Huang, H Kim, J Tang Computers in Human Behavior 84, 103-113, 2018 | 67 | 2018 |
| Enhancing Hi-C data resolution with deep convolutional neural network HiCPlus Y Zhang, L An, J Xu, B Zhang, WJ Zheng, M Hu, J Tang, F Yue Nature communications 9 (1), 1-9, 2018 | 66 | 2018 |
| Identification of protein–protein interactions via a novel matrix-based sequence representation model with amino acid contact information Y Ding, J Tang, F Guo International journal of molecular sciences 17 (10), 1623, 2016 | 61 | 2016 |
| Phylogenetic reconstruction from gene-rearrangement data with unequal gene content J Tang, BME Moret Workshop on Algorithms and Data Structures, 37-46, 2003 | 61 | 2003 |
| A fast 3d correspondence method for statistical shape modeling P Dalal, BC Munsell, S Wang, J Tang, K Oliver, H Ninomiya, X Zhou, ... 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007 | 47 | 2007 |
| Gene order phylogeny and the evolution of methanogens H Luo, Z Sun, W Arndt, J Shi, R Friedman, J Tang PLoS One 4 (6), e6069, 2009 | 46 | 2009 |
| Adaptive evolution of chloroplast genome structure inferred using a parametric bootstrap approach L Cui, J Leebens-Mack, LS Wang, J Tang, L Rymarquis, DB Stern, ... BMC evolutionary biology 6 (1), 1-12, 2006 | 46 | 2006 |
